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Open Access. Powered by Scholars. Published by Universities.®

Changsha University of Science and Technology

2019

Apple; grading; homomorphic filtering; improved K-means clustering method

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Research On Apple Classification Algorithm Based On Homomorphic Filtering And Improved K-Means Algorithm, Wang Yangyang, Huang Xun, Chen Hao, Huang Lun, Lei Yangbo Dec 2019

Research On Apple Classification Algorithm Based On Homomorphic Filtering And Improved K-Means Algorithm, Wang Yangyang, Huang Xun, Chen Hao, Huang Lun, Lei Yangbo

Food and Machinery

Homomorphic filtering and improved k-means algorithm were used to solve the problem of apple surface reflection and apple shadow caused by uneven light during apple grading. Before homomorphic filtering, the apple image was converted from RGB space to HSV space. Then the V component of HSV space was enhanced by homomorphic filtering to minimize the impact of uneven light. For the traditional K-means clustering algorithm, distance measurement method, determination of clustering number and initial center point were newly added, which can better remove the influence of apple shadow on image segmentation. The Qin Guan apples in Fu Xian county of …